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SBME Welcome Back Community BBQ 2024

SBME Research Seminar - Dr. Hannah Carter

Immune Checkpoint Blockade (ICB) has revolutionized cancer treatment, however mechanisms determining patient response remain poorly understood. We used machine learning to predict ICB response from germline and somatic biomarkers and studied feature usage by the learned model to uncover putative mechanisms driving superior outcomes. Patients with higher T follicular helper infiltrates were robust to defects in the class-I Major Histocompatibility Complex (MHC-I). Further investigation uncovered different ICB responses in MHC-I versus MHC-II neoantigen reliant tumors across patients. Despite similar response rates, MHC-II reliant responses were associated with significantly longer durable clinical benefit (Discovery: Median OS=63.6 vs. 34.5 months P=0.0074; Validation: Median OS=37.5 vs. 33.1 months, P=0.040). Characteristics of the tumor immune microenvironment reflected MHC neoantigen reliance, and analysis of immune checkpoints revealed LAG3 as a potential target in MHC-II but not MHC-I reliant responses. This study highlights the value of interpretable machine learning models in elucidating the biological basis of therapy responses.

SBME Research Seminar: Using interpretable machine learning to study the genetic determinants of immunotherapy response – Dr. Hannah Carter

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SBME Welcome Back Community BBQ 2024

September 12, 2024 @ 12:00 pm - 3:00 pm PDT

SBME Welcome Back Community BBQ 2024
SBME, BMEGA & BMEUSA will be hosting a Welcome Back Community BBQ in person at Thunderbird Commons from 12:00-15:00 Pacific Time on September 12, 2024. Join us for food & beverages, lawn games, and to get to know the SBME faculty, staff, and students.

 
 
Location:
Thunderbird Commons
Near the Reconciliation Pole

Details

Date:
September 12, 2024
Time:
12:00 pm - 3:00 pm PDT
Event Category:

Organizer

SBME Communications & Events Coordinator
Email
sarah.robertson@ubc.ca

Venue

UBC